SAMEA14084430 ERS11687563 uncultured Clostridium sp. This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run ERR479302 of study ERP005534. EBI Generic Generic.1.0 ERC000047 2023-01-03 2023-01-03 SAMEA14084430 EBI European Bioinformatics Institute 2023-01-03T00:33:33Z 2023-01-03T00:33:33Z public ERR479302_bin.27_CONCOCT_v1.1_MAG Many fragments with little to no review of assembly other than reporting of standard assembly statistics SPAdes v3.14.1 Default CONCOCT v1.1 EMG broker account, EMBL-EBI 2004-01-01 76.61 CheckM 2.01 Host-associated Human Digestive system France 0.0 0.0 metagenome-assembled genome human gut metagenome human gut metagenome Several bacterial species have been implicated in the development of colorectal carcinoma (CRC), but CRC-associated changes of fecal microbiota and their potential for cancer screening remain to be explored. Here we used metagenomic sequencing of fecal samples to identify taxonomic markers that distinguished CRC patients from tumor-free controls in a study population of 156 participants. Accuracy of metagenomic CRC detection was similar to the standard fecal occult blood test (FOBT) and when both approaches were combined, sensitivity improved >45% relative to the FOBT while maintaining its specificity. Accuracy of metagenomic CRC detection did not differ significantly between early and late-stage cancer and could be validated in independent patient and control populations (N=335) from different countries. CRC-associated changes in the fecal microbiome at least partially reflected microbial community composition at the tumor itself, indicating that observed gene pool differences may reveal tumor-related host-microbe interactions. Indeed, we deduced a metabolic shift from fiber degradation in controls to utilization of host carbohydrates and amino acids in CRC patients accompanied by an increase of lipopolysaccharide metabolism. SAMEA2466946 ERR479302_bin.27_CONCOCT_v1.1_MAG uncultured Clostridium sp. Illumina HiSeq 2000 multi-marker approach